Top Tech Jobs & Startup Jobs

Build, train, evaluate, and deploy deep learning models for credit modeling and loss prediction. Conduct representation learning experiments, integrate models into ML pipelines, and own projects from hypothesis through measurable business outcomes. Collaborate with data scientists, engineers, and product partners, communicate findings, and develop agentic tools that accelerate data science workflows.

Develop and evaluate foundational deep learning methods, including transformers, embeddings, and neural networks, for credit modeling and loss prediction. Integrate models into ML pipelines, apply representation learning to financial data, and build specialized AI agents for data science and business workflows. Collaborate with technical and product teams, communicate findings, mentor colleagues, and measure model impact on customer and business outcomes.

Own and scale Tilt’s credit card acquisition through affiliate partnerships, paid search, and paid social. Lead channel strategy, partner launches, targeting, experimentation, and optimization while collaborating with credit, data science, product, engineering, and marketing. Use SQL and Python to evaluate funnel performance, unit economics, approvals, activation, spend, and credit outcomes. Shape acquisition policies and application experiences to drive profitable growth.

Own credit performance for Tilt’s Mexico cash advance product, including credit policy, loan pricing, eligibility, unit economics, experimentation, and portfolio monitoring. Partner with data science to productionize risk models, monitor delinquency and vintage performance, and drive improvements across Product, Engineering, Collections, Finance, BI, and Marketing. The role requires strong consumer credit risk expertise, knowledge of Mexico’s lending market, analytical modeling skills, and executive communication.

Lead Risk Operations transformation programs from problem definition through implementation and measurement. Own automation initiatives, process redesign, tooling improvements, partner transitions, operational metrics, readiness, and continuous improvement. Collaborate with Risk Operations, Fraud Strategy, Compliance, Product, Engineering, Data, Shared Services, and Vendor Management to deliver measurable gains in service levels, quality, risk outcomes, backlog, and cost.

Lead backend engineering for NIRA’s consumer credit platform, scaling infrastructure, expanding support for financial products, and improving credit decision systems. Collaborate with engineering teams across APAC and with product, finance, compliance, support, and analytics stakeholders. Own technical solutions end to end in an AWS-native environment while contributing to platform and product strategy.

Lead technical direction and delivery for a core NIRA backend domain: design and ship high-volume web APIs, own architecture for distributed and queue-based systems, drive complex initiatives, mentor engineers, lead incident response, champion AI dev tools, and align cross-functionally to simplify systems and influence roadmap.

The Senior Backend Engineer will develop and maintain backend services and APIs on a .NET and Azure stack, optimize SQL Server models, and enhance platform reliability while working within a global team.

Leads Cashalo’s 11–12-person backend and mobile engineering team while advising the Philippines GM. Owns ambiguous, cross-market business problems, drives experiments and solutions, and applies proven engineering and product patterns to regional needs. The role requires strong engineering leadership, product judgment, startup experience, AI-enabled workflows, and the ability to engage technically with Staff+ engineers. It is fully remote across Australia, Singapore, or the Philippines, with quarterly travel to the Philippines.

Lead Tilt’s product design function across consumer financial products. Set design vision and quality standards, manage and grow a team of six designers and one researcher, build research capabilities, influence product strategy, scale the design system, advocate for users, and partner with Product, Engineering, Marketing, and executive leadership. Drive AI-enabled design practices and ensure product experiences deliver measurable user and business impact.